Aparna Balagopalan is a second year PhD student at the University of Toronto and Vector Institute, co-supervised by Prof. Marzyeh Ghassemi and Prof. Frank Rudzicz. Her research focuses on developing interpretable and justifiable machine learning models for healthcare. Prior to this, she received a Master’s degree from the University of Toronto, supported by a MITACS Accelerate scholarship, and a BTech degree from the IIT Guwahati. She currently holds a DeepMind PhD Fellowship for 2020-2021.
I am studying the generalisability of machine learning models applied to healthcare. The dynamic and adaptive nature of healthcare is reflected in the data that is collected in electronic health records. Sometimes we can anticipate these changes, and other times we need the model to be robust to these changes so that their decisions are reliable. In order to integrate machine learning into clinical models, we must understand when it fails, where it fails, and whom it fails to serve.